Lead Data Scientist

About FullscriptWe're an industry-leading health technology company on a mission to help people get better.

We started in **** with one simple idea.

Make it easier for practitioners to access the products they trust so they can deliver better care.That simple idea grew into a platform that powers every part of care.

Today, more than 125,000 practitioners use Fullscript for clinical insights, lab interpretations, patient analytics, education, and access to high-quality supplements.

Over 10 million patients rely on Fullscript to stay connected to their care plans and follow through on treatment.We build tools that make care smarter and more human.

Tools that save time, simplify decisions, and help practitioners stay closely connected to the people they care for.

When everything they need is in one place, they can focus on what matters most: helping people get better.This is your invitation.Bring your ideas, your grit, and your care for people.Join us and shape the future of care.We're hiring a Lead Data Scientist to anchor one of the most important bets in our next chapter.Fullscript is building intelligence trained on real-world functional outcomes.

Not textbook data.

Not controlled trials.

Real longitudinal practitioner data layered with our own prescribing and lab history.The hard part isn't building models.

It's designing research that can credibly claim causality in messy, non-randomized healthcare data.

Can we say that Protocol X led to Outcome Y, and stand behind it with confidence?

You'll define how we approach causal research, set the methodological standard, and turn complex clinical data into insight the business can actually use.

The output of this role will shape product direction, influence executive decisions, and determine whether this initiative becomes foundational to the company's future.This is a high bar.

We're looking for someone who's comfortable owning it.What You'll DoDesigning rigorous observational research frameworks that move beyond correlation toward defensible causal inferenceAddressing confounding, selection bias, missingness, and other structural challenges in real-world healthcare dataExtracting outcome intelligence from newly acquired longitudinal practitioner datasetsConnecting prescribing patterns, lab data, and behavioral signals into coherent analytical narrativesEstablishing methodological standards that protect the integrity of our claimsTranslating complex statistical findings into clear implications for Product, Marketing, and executive stakeholdersLeading and mentoring a small data team while remaining deeply hands-on in research and modelingBuilding repeatable research processes that can scale as new data flows inWhat You BringAdvanced training in statistics, biostatistics, econometrics, or a related field with deep expertise in causal inferenceDemonstrated experience designing studies in observational healthcare data where randomization is not availablePractical understanding of the pitfalls in real-world clinical datasets, including confounding variables, selection effects, and incomplete outcome signalsComfort working with messy inputs such as PDF labs, narrative notes, inconsistent schemas, and evolving data structuresStrong Python proficiency and hands-on experience with statistical modeling librariesA track record of translating analytical insight into tangible business or product decisionsProfessional maturity and autonomy to run a high-visibility research function independentlyExperience leading or mentoring other data professionals while maintaining technical depthWhat We OfferGenerous PTO and competitive payFullscript's RRSP match program for financial healthFlexible benefits package and workplace wellness programTraining budget and company-wide learning initiativesDiscount on Fullscript catalog of productsAbility to work Wherever You Work WellWhy FullscriptGreat work happens when people feel supported, trusted, and inspired.

At Fullscript, we stay curious and keep finding smarter ways to make care better.

We grow together, take on new challenges, and focus on impact.

We put people first, work as a team, and leave egos at the door.What to Know Before You ApplyWe're grateful for the interest in joining Fullscript.

To make sure your application reaches our hiring team, please apply directly through our careers page.

We're not able to respond to individual messages about open roles on email or social channels.Fullscript is an equal opportunity employer committed to creating an inclusive workplace.

Accommodations are available upon request at ****** offers are contingent on successful background checks conducted in compliance with federal, state, and provincial laws.We use AI tools to support parts of the hiring process, including screening and reviewing responses.

Final hiring decisions are always made by people and follow all applicable privacy and employment laws in Canada and the U.S.Learn Morewww.fullscript.com@fullscriptHQ on instagramLet's make healthcare whole

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